首页|Researchers from Concordia University Report Details of New Studies and Findings in the Area of Machine Learning (Prediction of Selfconsolidating Concrete Prop erties Using Xgboost Machine Learning Algorithm: Rheological Properties)
Researchers from Concordia University Report Details of New Studies and Findings in the Area of Machine Learning (Prediction of Selfconsolidating Concrete Prop erties Using Xgboost Machine Learning Algorithm: Rheological Properties)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in Machine Lea rning. According to news originating from Montreal, Canada, by NewsRx correspond ents, research stated, “Rheological properties are critical for assessing self-c onsolidating concrete (SCC)’s performance and application. However, predicting t hese properties accurately, specifically plastic viscosity and yield stress, fac es challenges due to inconsistent data, small sample sizes, and measurement inac curacies, with the type of rheometer significantly impacting results.”
MontrealCanadaNorth and Central Amer icaAlgorithmsCyborgsEmerging TechnologiesMachine LearningConcordia Uni versity
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